DEVELOPMENT... OpenML
Run
32633

Run 32633

Task 4549 (Supervised Classification) kdd_internet_usage Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I160
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9517
Per class
Build CPU time
29.4697
Build memory
969775976.7446
F measure
0.8961
Per class
Kappa
0.7315
KB relative information score
63617.1708
Mean absolute error
0.1449
Mean prior absolute error
0.3929
Number of instances
101080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8959
Per class
Predictive accuracy
0.8978
Prior entropy
0.8395
Recall
0.8978
Per class
Relative absolute error
0.3688
Root mean prior squared error
0.4432
Root mean squared error
0.2725
Root relative squared error
0.6149
SciMark benchmark
941.0592